公开(公告)号：US20160092820A1

公开(公告)日：2016-03-31

申请号：US14864415

申请日：2015-09-24

申请人： Alexander Ebel ,  Martin Schneider ,  Sonja Zillner

发明人： Alexander Ebel ,  Martin Schneider ,  Sonja Zillner

IPC分类号： G06Q10/06

CPC分类号： G06Q10/06395 ,  G05B17/02 ,  G05B19/41885 ,  Y02P90/26

摘要： A system for providing data analytics results for a process performed in an industrial plant includes a knowledge model repository configured to store semantic knowledge models. The system also includes selection unit configured to select at least one analytics application describing semantically at least one process step and at least one parameter required for accomplishing an analytics task. The system includes a processing unit configured to process the selected analytics application and selected instantiated semantic knowledge models to infer at least one storage location of at least one data source of the industrial plant, and an execution engine configured to execute the selected data analytics application using accessed process data provided by the inferred data sources of the industrial plant to generate the data analytics results.

摘要翻译： 用于为在工厂中执行的处理提供数据分析结果的系统包括被配置为存储语义知识模型的知识模型存储库。 该系统还包括选择单元，其被配置为选择描述语义上至少一个处理步骤的至少一个分析应用程序和完成分析任务所需的至少一个参数。 该系统包括处理单元，该处理单元被配置为处理所选择的分析应用程序和所选择的实例化语义知识模型以推断出工业工厂的至少一个数据源的至少一个存储位置，以及执行引擎，被配置为使用 由工业工厂的推断数据源提供的访问过程数据，以生成数据分析结果。

公开(公告)号：US20150178386A1

公开(公告)日：2015-06-25

申请号：US14250326

申请日：2014-04-10

申请人： Heiner Oberkampf ,  Claudia Bretschneider ,  Sonja Zillner

发明人： Heiner Oberkampf ,  Claudia Bretschneider ,  Sonja Zillner

IPC分类号： G06F17/30 ,  G06F19/00

CPC分类号： G06F16/367 ,  G06F19/32 ,  G06F19/324

摘要： A system for extracting relations between measurements within an unstructured text and ontology concepts of at least one domain ontology stored in a domain ontology database is provided. The system includes an annotation unit adapted to process sentences of the unstructured text to derive tokens and measurements within the sentences. The derived tokens are annotated with ontology concepts mapped to the tokens. The system also includes a concept analyzing unit adapted to analyze, for each annotated sentence including at least one derived measurement, the annotated ontology concepts mapped to the derived tokens of the sentence to identify the ontology concepts related to the at least one derived measurement and to rank the identified related ontology concepts according to calculated relation strengths of the relations between the identified related ontology concepts and the respective measurement of the annotated sentence.

摘要翻译： 提供了一种用于提取非结构化文本中的测量之间的关系的系统以及存储在域本体数据库中的至少一个领域本体的本体概念。 该系统包括一个注释单元，适用于处理非结构化文本的句子以导出句子内的标记和测量。 派生令牌用映射到令牌的本体概念进行注释。 该系统还包括概念分析单元，适于针对包括至少一个派生测量的每个带注释的句子来分析映射到该句子的派生令牌的注释本体概念，以识别与至少一个派生测量相关的本体概念，以及 根据所识别的相关本体概念与注释句子的相应测量之间的关系的计算关系强度对所识别的相关本体概念进行排序。

公开(公告)号：US08935196B2

公开(公告)日：2015-01-13

申请号：US12846932

申请日：2010-07-30

申请人： Sonja Zillner

发明人： Sonja Zillner

IPC分类号： G06N5/02 ,  G06F19/00

CPC分类号： G06N5/02 ,  G06F19/321

摘要： A method and system for providing instance information data of at least one instance. The method has the steps of generating a semantic representation of the instance on the basis of at least one instance data source, providing a semantic representation of a domain on the basis of at least one structured domain data source, performing an integration of the semantic instance and domain representations to provide an integrated semantic representation and deriving automatically instance information data from the provided integrated semantic representation. The method and system allow to provide efficiently instance information data of a wide range of instances with technical entities and persons, in a particular patients in different domains such as radiology or anatomy.

摘要翻译： 一种用于提供至少一个实例的实例信息数据的方法和系统。 该方法具有以下步骤：基于至少一个实例数据源生成实例的语义表示，基于至少一个结构化域数据源提供域的语义表示，执行语义实例的集成 和域表示，以提供集成语义表示，并从提供的集成语义表示自动导出实例信息数据。 该方法和系统允许在不同领域（例如放射学或解剖学）的特定患者中，向技术实体和人员提供广泛范围的实例的实例信息数据。

公开(公告)号：US20140297230A1

公开(公告)日：2014-10-02

申请号：US14034830

申请日：2013-09-24

申请人： Stephan Grimm ,  Sonja Zillner ,  Lisa Theresa Abele

发明人： Stephan Grimm ,  Sonja Zillner ,  Lisa Theresa Abele

IPC分类号： G06F17/50

CPC分类号： G06Q10/067 ,  G06F17/50 ,  G06Q50/04 ,  Y02P90/26 ,  Y02P90/30

摘要： Methods for modeling a physical facility and corresponding systems and computer-readable mediums. A method includes receiving a plant concept model of a physical facility including a plurality of metamodel entities and receiving a plurality of plant foundational models corresponding to the plant concept model, each plant foundational model addressing a different engineering aspect of the physical facility. The method includes integrating the plurality of plant foundational models and defining a plurality of plant type models each corresponding to a respective plant foundational model. The method includes defining a plurality of plant instance models each corresponding to a respective plant type model and creating an integrated model that provides a user view that combines the plant foundational models and plant instance models. The method includes storing the integrated model.

摘要翻译： 用于建模物理设施和相应的系统和计算机可读介质的方法。 一种方法包括接收包括多个元模型实体的物理设备的工厂概念模型，以及接收对应于工厂概念模型的多个工厂基础模型，每个工厂基础模型解决物理设施的不同工程方面。 该方法包括集成多个植物基础模型并且定义多个植物类型模型，每个对应于相应植物基础模型。 该方法包括定义多个植物实体模型，每个植物实体模型各自对应于各自的植物类型模型，并创建提供组合植物基础模型和植物实体模型的用户视图的综合模型。 该方法包括存储集成模型。

公开(公告)号：US20130310653A1

公开(公告)日：2013-11-21

申请号：US13473134

申请日：2012-05-16

申请人： Sonja Zillner ,  Heiner Oberkampf

发明人： Sonja Zillner ,  Heiner Oberkampf

IPC分类号： A61B5/00

CPC分类号： G06N5/00 ,  G06F19/00 ,  G16H50/20

摘要： Methods and systems may support conclusions of a clinician by enabling the clinician to arbitrarily define the symptoms according to the patient's record. The method may comprise: (a) determining a plurality of symptoms representing a patient and including characteristics of the patient, the symptoms being categorized as present symptoms, absent symptoms or open symptoms; (b) establishing a multi-tier relationship between said symptoms and a plurality of diseases based on a knowledge model; (c) adjusting weighting factor(s) for at least one multi-tier relationship based on said knowledge model; (d) optionally adjusting at least one weighting factor of step (c) by an expert; and (e) building a ranking of diseases from said multi-tier relationship based on said weighting factors. The method may provide an efficient ranking of disease information, thereby supporting a clinical diagnosis that may consider multiple symptoms while emphasizing particular symptoms in view of the clinician's expertise.

摘要翻译： 方法和系统可以通过使临床医生根据患者的记录任意地定义症状来支持临床医生的结论。 该方法可以包括：（a）确定代表患者的多种症状并包括患者的特征，症状被分类为现有症状，无症状或开放症状; （b）基于知识模型在所述症状与多种疾病之间建立多层关系; （c）基于所述知识模型调整至少一个多层关系的权重因子; （d）由专家任选地调整步骤（c）的至少一个加权因子; 以及（e）基于所述加权因子从所述多层关系建立疾病排名。 该方法可以提供疾病信息的有效排序，从而支持可以考虑多种症状的临床诊断，同时考虑到临床医生的专业知识强调特定症状。

公开(公告)号：US20120331014A1

公开(公告)日：2012-12-27

申请号：US13205135

申请日：2011-08-08

申请人： Michal Skubacz ,  Sonja Zillner

发明人： Michal Skubacz ,  Sonja Zillner

IPC分类号： G06F17/30

CPC分类号： G16H10/60 ,  G06F19/00

摘要： The method of administering a knowledge repository described herein establishes combining data input with concurrent data analytics in order to improve the quality and relevance of data entries.

摘要翻译： 管理本文所述的知识库的方法建立了将数据输入与并发数据分析相结合，以便提高数据条目的质量和相关性。

公开(公告)号：US20160371457A1

公开(公告)日：2016-12-22

申请号：US14746647

申请日：2015-06-22

申请人： Sonja Zillner

发明人： Sonja Zillner

IPC分类号： G06F19/00

CPC分类号： G16H50/70 ,  G16H10/60

摘要： A data analyzing system for analyzing health-related data of a patient is provided. The system includes a data repository configured to store a semantic patient data model instantiated for each patient by episodic health-related data of the patient loaded from heterogeneous clinical data sources, by non-episodic health-related data of the patient loaded from at least one health monitoring device of the patient, or by a combination thereof. The system also includes a data analyzing unit configured to analyze at least one instantiated patient data model stored in the data repository in response to a query.

摘要翻译： 提供了一种用于分析患者的健康相关数据的数据分析系统。 该系统包括数据存储库，其被配置为通过从异质临床数据源加载的患者的情景健康相关数据，通过从至少一个病人加载的患者的非情景健康相关数据来存储为每个患者实例化的语义患者数据模型 患者的健康监测装置，或其组合。 该系统还包括数据分析单元，其被配置为响应于查询来分析存储在数据存储库中的至少一个实例化的患者数据模型。

公开(公告)号：US09002769B2

公开(公告)日：2015-04-07

申请号：US13540952

申请日：2012-07-03

申请人： Heiner Oberkampf ,  Sonja Zillner

发明人： Heiner Oberkampf ,  Sonja Zillner

IPC分类号： G06N5/02 ,  G06F19/00

CPC分类号： G06F19/345 ,  G06F19/00 ,  G16H50/20

摘要： A method and system for supporting a clinical diagnosis is provided, the method including the steps of representing a patient by a plurality of initial symptoms, the symptoms including characteristics of the patient; determining, by querying and reasoning in a disease-symptom knowledge model, at least one likely disease for each of the plurality of initial symptoms; mapping the plurality of initial symptoms onto a set of said likely diseases; determining for each disease of said set of likely diseases a plurality of associated symptoms, the associated symptoms being associated to a respective disease of said set of likely diseases in said disease-symptom knowledge model; categorizing each of the plurality of associated symptoms into disjoint categories by mapping associated symptoms with initial symptoms; and representing likely diseases in the context of said categories of associated symptoms.

摘要翻译： 提供了一种用于支持临床诊断的方法和系统，所述方法包括以多个初始症状表示患者的步骤，所述症状包括患者的特征; 通过在疾病症状知识模型中的查询和推理来确定多种初始症状中的每一种的至少一种可能的疾病; 将多个初始症状映射到一组所述可能的疾病; 确定所述一组可能疾病中的每种疾病多种相关症状，所述相关症状与所述疾病症状知识模型中所述一组可能疾病的相应疾病相关联; 通过将相关症状与初始症状相关联，将多个相关症状中的每一个分类为不相关的类别; 并在所述类别的相关症状的背景下代表可能的疾病。

公开(公告)号：US20150081648A1

公开(公告)日：2015-03-19

申请号：US14029270

申请日：2013-09-17

申请人： Sonja Zillner ,  Heiner Oberkampf ,  Peter Rosina ,  Melanie Langermeier ,  Thomas Driessen

发明人： Sonja Zillner ,  Heiner Oberkampf ,  Peter Rosina ,  Melanie Langermeier ,  Thomas Driessen

IPC分类号： G06F17/30

CPC分类号： G06F16/2365 ,  G06N20/00

摘要： A method of composing an integrated ontology is provided. The method makes use of feature models for the process of modular development of ontologies. The feature models are adapted to assist the user in the process of selection of appropriate and combinable ontologies from an ontology repository for a given use case scenario. The usage of a feature model provides a view of all possible combinations, i.e. all combinations that do not result in an inconsistent ontology. The feature model is specifying dependencies between different ontologies thereby expediting the selection of appropriate ontologies. The usage of reasoning techniques provides for an in-situ consideration of restrictions for the selection of ontologies.

摘要翻译： 提供了一种组合本体的方法。 该方法利用了本体模块化开发过程的特征模型。 特征模型适用于帮助用户在给定用例场景中从本体存储库中选择适当且可组合的本体的过程。 特征模型的使用提供了所有可能组合的视图，即不导致本体不一致的所有组合。 特征模型是指定不同本体之间的依赖关系，从而加速选择适当的本体。 推理技术的使用提供了对本体选择的限制的原位考虑。

公开(公告)号：US20140012790A1

公开(公告)日：2014-01-09

申请号：US13540952

申请日：2012-07-03

申请人： Heiner Oberkampf ,  Sonja Zillner

发明人： Heiner Oberkampf ,  Sonja Zillner

IPC分类号： G06N5/02

CPC分类号： G06F19/345 ,  G06F19/00 ,  G16H50/20

摘要： A method and system for supporting a clinical diagnosis is provided, the method including the steps of representing a patient by a plurality of initial symptoms, the symptoms including characteristics of the patient; determining, by querying and reasoning in a disease-symptom knowledge model, at least one likely disease for each of the plurality of initial symptoms; mapping the plurality of initial symptoms onto a set of said likely diseases; determining for each disease of said set of likely diseases a plurality of associated symptoms, the associated symptoms being associated to a respective disease of said set of likely diseases in said disease-symptom knowledge model; categorizing each of the plurality of associated symptoms into disjoint categories by mapping associated symptoms with initial symptoms; and representing likely diseases in the context of said categories of associated symptoms.

摘要翻译： 提供了一种用于支持临床诊断的方法和系统，所述方法包括以多个初始症状表示患者的步骤，所述症状包括患者的特征; 通过在疾病症状知识模型中的查询和推理来确定多种初始症状中的每一种的至少一种可能的疾病; 将多个初始症状映射到一组所述可能的疾病; 确定所述一组可能疾病中的每种疾病多种相关症状，所述相关症状与所述疾病症状知识模型中所述一组可能疾病的相应疾病相关联; 通过将相关症状与初始症状相关联，将多个相关症状中的每一个分类为不相关的类别; 并在所述类别的相关症状的背景下代表可能的疾病。